Role Description This is a unique opportunity to contribute directly to the development of real-world artificial intelligence. - Review AI-generated security events throughout the day - Analyse sequences of security camera images from member entry events - Determine whether each event represents tailgating or legitimate member access - Assign confidence levels to each decision - Record notes where additional context is helpful - Flag unusual or uncertain events for internal review - Apply labelling guidelines consistently across every event - Help create accurate datasets used to train and improve AI models - Maintain confidentiality when accessing security footage and operational systems Qualifications - Excellent spoken and written English - Exceptional attention to detail and accuracy - Patient, methodical, and highly consistent in decision-making - Ability to follow detailed guidelines and apply them consistently - Comfortable performing repetitive analytical tasks while maintaining high accuracy - Strong organisational and time management skills - Ability to work independently with minimal supervision - Professional, trustworthy, and able to handle confidential information responsibly - Quick learner who is comfortable using new software and internal platforms - Strong observational and critical thinking skills - Reliable internet connection - Personal laptop or desktop suitable for the role - Quiet workspace suitable for focused work Requirements - Experience in any of the following is advantageous: - Data entry - Administration - Quality assurance - Security monitoring - Operations - Analytical or research-based roles Benefits - Full training provided - Opportunity to contribute to real-world artificial intelligence systems - Work with cutting-edge computer vision technology - Flexible remote working arrangement - Supportive team and structured onboarding - Valuable experience in AI data annotation and machine learning - Potential opportunities for future contract extensions or additional AI projects based on performance

Role Description We are seeking an AI Scientist to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement. Qualifications - Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience. - Six or more years of combined research and applied ML engineering experience. - Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX. - Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale. - Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML. - Experience taking ML models from research prototype to production with appropriate observability and safeguards. - Familiarity with distributed training, mixed-precision training, and accelerator hardware. - Strong written and verbal communication skills, including ability to explain complex methods clearly. - Demonstrated ability to read, evaluate, and adapt techniques from current research literature. - Track record of shipping impactful applied AI projects. Requirements - Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Preferred Qualifications - Published research at top-tier AI/ML venues. - Experience with large language model training, fine-tuning, or evaluation. - Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures. - Exposure to responsible AI, model evaluation, and alignment practices. - Experience contributing to open-source ML projects. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Lead the strategic vision, design, and execution of enterprise technology architecture and artificial intelligence capabilities. • Serve as a trusted partner to executive leadership and business unit leaders. • Advance the firm’s digital and AI maturity by aligning architecture strategy with business priorities. • Design, deploy, and govern an enterprise Agentic AI framework. • Lead evaluation and selection of LLM platforms. • Establish and govern enterprise architecture standards across applications, data, integrations, infrastructure, and security. • Ensure architecture decisions balance innovation, risk management, cost efficiency, and long-term sustainability. • Define and lead the enterprise AI strategy, establishing a clear vision for AI transformation.

• Creat high-quality images, animations, and video clips using AI tools (Midjourney, Sora, Veo, RunwayML, Stable Diffusion, Magnific, Suno, ChatGPT, etc.) • Build and refine pipelines to generate assets at a fast pace without sacrificing quality • Edit and assemble AI-generated content into polished, final videos ready to ship into a lesson • Design scalable visual and interactive patterns that map to the skillset our AI tutor actually has available • Take a lesson objective and outline and turn it into engaging images and short videos that hit the mark • Partner with a subject matter expert to design learning activities for kids that balance challenge, fun, and real-world relevance